Author here. Happy to answer questions about the implementation.
Quick context: this uses Google's ADK to run specialized agents (Backend, Frontend, QA, Security, PM) coordinated by an Orchestrator. They execute sprints in parallel with a defect detection loop.
Environment setup overhead was brutal (40%+ of tokens). But the QA loop catching regressions was worth it.
Author here. Happy to answer questions about the implementation.
Quick context: this uses Google's ADK to run specialized agents (Backend, Frontend, QA, Security, PM) coordinated by an Orchestrator. They execute sprints in parallel with a defect detection loop.
Environment setup overhead was brutal (40%+ of tokens). But the QA loop catching regressions was worth it.
GitHub: https://github.com/michaelbleterman/ai-scrum
Curious if anyone's tried similar multi-agent approaches with other frameworks.